Instructions to use RioJune/AG-KD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RioJune/AG-KD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="RioJune/AG-KD", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("RioJune/AG-KD", trust_remote_code=True) model = AutoModelForMultimodalLM.from_pretrained("RioJune/AG-KD", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Add model card
#2
by nielsr HF Staff - opened
This PR adds a comprehensive model card for the K2Sight model. It includes:
- A summary of the model and its purpose.
- Links to the paper, project page, GitHub repository, and a Hugging Face Space demo.
- Relevant metadata:
apache-2.0license,transformerslibrary, andzero-shot-object-detectionpipeline tag. - A practical Python code usage example for quick model inference.
- A citation for the work.
RioJune changed pull request status to merged
Hi nielsr~ thank you so much, I checked, beter to revert it :) I I also find previous one are better